Data quality is an essential aspect of any successful enterprise data management strategy. In today’s business environment, it is essential to maintain a high standard of data quality to support ...

In today's financial landscape, fintechs, banks and other lenders need to make sound credit decisions in order to stay afloat. And one of the most important factors in making accurate credit decisions ...

Find out why virtual data rooms matter in mergers and acquisitions, how to prepare them, what should be included, and how AI ...

Just because your firm can use your existing data for AI risk modelling doesn’t mean you should. There’s a perception that AI can create accurate predictions based on any data set. That’s not always ...

This week I have a special five-part podcast series, sponsored by Verint on the Future of Communication in Financial Compliance on the Innovation in Compliance podcast series on the Compliance Podcast ...

While companies may share common ground when it comes to their data quality problems, data quality tools and strategies are not one-size-fits-all solutions to the problem. Each company should approach ...

To establish a consistent approach to assess, manage and improve data quality across the data lifecycle, covering a wide spectrum of data types, and taking into account the blurred line between data ...

Forty-eight percent of workers struggle to find files, 45 percent of SMBs still use paper, and e-signatures can boost close rates by 28 percent or more.